MICRO-513: Signal Processing for Functional Brain Imaging

General information

Instructors: Dimitri Van De Ville and Melissa Saenz
Time/Location: Thursday 14h15-17h, AAC.137
Lab exercises: Computer room ELD.020
Contact: Dimitri Van De Ville and Melissa Saenz


The aim of this course is to demonstrate how advanced signal processing techniques contribute to study brain function using modern medical imaging modalities. Over the past decade, seeing the brain at work has had a tremendous impact on neurosciences and medicine. The essentials of signal and image processing methods that lead to successful interpretation of functional brain imaging data are described, with a particular emphasis on multivariate and exploratory techniques. The proposed methodologies are widely applicable; particular examples include functional brain imaging using fMRI, EEG, and optical modalities.


  • All materials, including slides of the lectures and papers for the journal club (JC), are available for download (inside the EPFL/UniGE/UNIL domains)


Week 1 (February 19): Introduction to course and primer on brain anatomy and statistics

Week 2 (February 26): General linear model: basics

Week 3 (March 5): General linear model: continued

Week 4 (March 12): Topographic mapping

Week 5 (March 19): Lab exercise (ELD.020)

Week 6 (March 26): Independent component analysis

Week 7 (April 2): Multimodal

Week 8 (April 9): Easter holidays

Week 9 (April 16): Lab exercise (ELD.020)

Week 10 (April 23): Pattern recognition

Week 11 (April 30): Real-time FMRI

Week 12 (May 7): Graph models

Week 13 (May 14): Ascension holiday

Week 14 (May 21): Reserve

Week 15 (May 28): Summary